Data Science for Mental Health (DS4MH) @ The Alan Turing Institute
About Us
The vision for this interest group is to kick-start one or more projects using contemporary data science and multi-modal data for mental health to provide insight and benefit for individuals, clinicians, and contribute to fundamental research in mental health (including dementia) as well as the data science methodology. It aims to provide an informal bridge between clinicians, charities, and data owners (like CRIS, UKDP, and Biobank) and data science researchers to stimulate and align cutting edge research in this area.
Events
Meetings
We organise monthly meetings (including half-an-hour long invited talks) at the Turing. Meetings are organised and moderated by Jenny Chim, Yue Wu, and Emilio Ferrucci. Please join our mailing list for more updated information.
As a part of AI UK Fringe, we jointly organised a hybrid event with the NLP interest group on AI for Mental Health Monitoring on 28th March 2024.
See here for our previous talks.
Upcoming Events
Meetings
| Date | Time | Presenter | Title |
|---|---|---|---|
| 2025.09.18 | 15:00 | Introduction | |
| 15:05 | Dr. Matteo Malgaroli (NYU) |
LLM-Augmented Mental Health Care: From Linguistic Markers to Clinical Applications
The assessment and treatment of mental health conditions face ongoing challenges in terms of scalability and subjectivity. The integration of Large Language Models (LLMs) presents a potential solution by automating key clinical tasks and augmenting provider capabilities. In this talk, I will: (1) present findings on using linguistic markers to capture mental health symptoms from clinical conversations; (2) discuss findings on the capabilities of LLMs to assess mental health diagnoses and symptoms; and (3) explore preliminary findings on using LLMs for clinical care, and (4) outline ongoing efforts to deploy these technologies while addressing critical challenges in privacy, equity, and safety. |
|
| 15:50 | After talks discussion |